Data quality and plausibility Report

IPHRA_COUNTRY_CODE

Introduction

Qu’est-ce que cet outil?

Le rapport sur la qualité et la plausibilité des données est un outil essentiel pour évaluer la fiabilité et la précision de la collecte des données de l”IPHRA dans différents secteurs tels que la nutrition, la mortalité, l eau, l assainissement et l hygiène (WASH), la sécurité alimentaire et les moyens de subsistance. Cette analyse complète est conçue pour identifier et traiter les problèmes potentiels dans les données, en veillant à ce que les équipes de terrain soient informées des problèmes potentiels détectés dans la collecte de données.

Pour chacun de ces secteurs, le rapport fournit un examen détaillé des ensembles de données, en utilisant une variété de mesures et de méthodologies pour évaluer la qualité et la plausibilité des données. Il s agit notamment de vérifier l exhaustivité, la cohérence et l exactitude des données collectées. Ce rapport vise à mettre en évidence les divergences, les valeurs aberrantes ou les anomalies qui peuvent suggérer une collecte de données, des erreurs de saisie ou des problèmes sous-jacents susceptibles d avoir une incidence sur l intégrité des résultats.

Que contient cet outil ?

METADATA CHECK SECTION

Cette section présente un résumé de certains résultats clés ainsi que des vérifications de métadonnées telles que le nombreUUID doublons, valeurs aberrantes dans les durées d enquête/doublons légers, incohérences entre les listes des individuel et les principaux ensembles de données de menage, et quelques diagrammes de distribution des âges.

Cette section comprend également une carte qui montre les emplacements géographiques des ménages évalués.

FSL SECTION

Cette section comprend:

• Rapport de plausibilité globale / Par l enquêteur
• Tous les indicateurs liés à la sécurité alimentaire et aux moyens de subsistance (détails pour chaque indicateur dans la section)
• Graphiques montrant la distribution des données.

MUAC/NUTRITION SECTION

Cette section comprend:

• Rapport de plausibilité globale / Par l enquêteur
• Tous les indicateurs liés au MUAC et à la nutrition (détails pour chaque indicateur dans la section)
• Graphiques montrant la distribution des données.

WATER CONSUMPTION SECTION

Cette section comprend:

• Tous les indicateurs liés au WASH (details shown for each flag in the section)

MORTALITY SECTION

Cette section comprend:

• Rapport de plausibilité globale / Par l enquêteur
• Tous les indicateurs liés au MORTALITÉ (details shown for each flag in the section)

Que faire ensuite ?

Veuillez vérifier chaque indicateur et l ACTION qui s y rapporte et agir en conséquence.

Un autre résultat sera associé à ce HTML, le fichier Excel des drapeaux qui ont été tirés et qui nécessitent un suivi avec l équipe de terrain. Veuillez consulter l onglet README dans le fichier Excel. Ce fichier sera à nouveau généré avec l ensemble des données lors du nettoyage de l ensemble des données. Veuillez donc utiliser ce fichier pendant la collecte des données et vous y référer dans le fichier final à remplir.

Commentaires

Vous pouvez nous faire part de vos commentaires sur les améliorations à apporter à ce produit en nous contactant :

• abraham.azar@impact-initiatives.org

• impact.geneva.phu@impact-initiatives.org

METADATA CHECK

Quick Demographic Distribution

Number of assessed Households: 500

Number of reported Individuals: 1788

Map of submissions locations

Number of respondent with no consent: 50 (10% of the total assessed respondents)

Duplicates/Survey Duration/Soft Duplicates

Number of detected UUID duplicates: 1

Number of detected outliers in survey durations: 53

Number of detected outliers in soft duplicates between submission: 0

Inconsistency between loops and main

Number of detected inconsistency between main and hh_roster: 1

Number of detected inconsistency between main and ind_health: 1

## <h5>Number of detected inconsistency between main and water_count_loop:<strong> 0</strong></h5>

Number of detected inconsistency between main and child_nutrition: 1

## <h5>Number of detected inconsistency between main and women:<strong> 1</strong></h5>

## <h5>Number of detected inconsistency between main and died_member:<strong> 0</strong></h5>

Plots

Age Group / Sex Distribution

Age Years Distibution (0 - 10)

FSL

Data Quality FSL

Plausbility

Overall

	Values
Criteria	Excellent		Good	Acceptable	Problematic		Score	Indicator Score
plaus_flag_sd_foodgroup	<2%		2-<10%	2-<10%	>10%		6	19/20
	0		4	4	6
plaus_sd_fcs	sd >=9 or <14		sd >= 8-<9 or sd >= 14 - <16	sd >= 8-<9 or sd >= 14 - <16	sd <8 or >=16		3
	0		2	2	4
plaus_flag_low_fcs	<2%		2-<10%	2-<10%	>10%		4
	0		2	2	4
plaus_flag_high_fcs	<2%		2-<10%	2-<10%	>10%		2
	0		1	1	2
plaus_flag_meat_cereal_ratio	<2%		2-<10%	2-<10%	>10%		4
	0		2	2	4
plaus_flag_low_sugar_cond_hdds	<2%		2-<10%	2-<10%	>10%		0
	0		2	2	4
plaus_flag_sd_rcsicoping	<2%		2-<10%	2-<10%	>10%		6	12/20
	0		4	4	6
plaus_sd_rcsi	sd >=9 or <14		sd >=8-<9 or sd >=14 - <16	sd >=8-<9 or sd >=14 - <16	sd <8 or >=16		0
	0		2	2	3
plaus_flag_high_rcsi	<1%		2-<10%	2-<10%	>=5%		0
	0		4	4	5
plaus_flag_protein_rcsi	<2%		2-<10%	2-<10%	>10%		3
	0		2	2	3
plaus_flag_rcsi_children	<2%		2-<10%	2-<10%	>10%		3
	0		2	2	3
plaus_flag_severe_hhs	<1%		<5%	<10%	>=10%		6	6/10
	0		6	8	10
plaus_flag_lcsi_coherence	<2%		2-<10%	2-<10%	>10%		7	12/20
	0		5	5	7
plaus_flag_lcsi_na	<2%		2-<10%	2-<10%	>10%		0
	0		3	3	5
plaus_flag_lcsi_severity	<2%		2-<10%	2-<10%	>10%		5
	0		3	3	5
plaus_flag_lcsi_liv_livestock	<2%		2-<10%	2-<10%	>10%		NA
	0		2	2	3
plaus_flag_lcsi_liv_agriculture	<2%		2-<10%	2-<10%	>10%		NA
	0		2	2	3
plaus_prop_fc_flags	<2%		2-<10%	2-<10%	>10%		4	16/20
	0		2	2	4
plaus_corr.fcs_rcsi	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	5
	0	1	2	3	4	5
plaus_corr.fcs_hhs	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	3
	0	1	1.5	2	2.5	3
plaus_corr.hhs_rcsi	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	0
	0	1	1.5	2	2.5	3
plaus_flag_fcsrcsi_box	<2%		2-<10%	2-<10%	>10%		3
	0		1	1	3
plaus_flag_fcs_rcsi	<2%		2-<10%	2-<10%	>10%		1
	0		1	1	3
plaus_fsl_score	<20		20 < 30		>= 30		65
plaus_fsl_cat	Good		Moderate		Problematic		Problematic

1

	Values
Criteria	Excellent		Good	Acceptable	Problematic		Score	Indicator Score
plaus_flag_sd_foodgroup	<2%		2-<10%	2-<10%	>10%		6	16/20
	0		4	4	6
plaus_sd_fcs	sd >=9 or <14		sd >= 8-<9 or sd >= 14 - <16	sd >= 8-<9 or sd >= 14 - <16	sd <8 or >=16		3
	0		2	2	4
plaus_flag_low_fcs	<2%		2-<10%	2-<10%	>10%		4
	0		2	2	4
plaus_flag_high_fcs	<2%		2-<10%	2-<10%	>10%		1
	0		1	1	2
plaus_flag_meat_cereal_ratio	<2%		2-<10%	2-<10%	>10%		2
	0		2	2	4
plaus_flag_low_sugar_cond_hdds	<2%		2-<10%	2-<10%	>10%		0
	0		2	2	4
plaus_flag_sd_rcsicoping	<2%		2-<10%	2-<10%	>10%		6	10/20
	0		4	4	6
plaus_sd_rcsi	sd >=9 or <14		sd >=8-<9 or sd >=14 - <16	sd >=8-<9 or sd >=14 - <16	sd <8 or >=16		0
	0		2	2	3
plaus_flag_high_rcsi	<1%		2-<10%	2-<10%	>=5%		0
	0		4	4	5
plaus_flag_protein_rcsi	<2%		2-<10%	2-<10%	>10%		2
	0		2	2	3
plaus_flag_rcsi_children	<2%		2-<10%	2-<10%	>10%		2
	0		2	2	3
plaus_flag_severe_hhs	<1%		<5%	<10%	>=10%		6	6/10
	0		6	8	10
plaus_flag_lcsi_coherence	<2%		2-<10%	2-<10%	>10%		7	12/20
	0		5	5	7
plaus_flag_lcsi_na	<2%		2-<10%	2-<10%	>10%		0
	0		3	3	5
plaus_flag_lcsi_severity	<2%		2-<10%	2-<10%	>10%		5
	0		3	3	5
plaus_flag_lcsi_liv_livestock	<2%		2-<10%	2-<10%	>10%		NA
	0		2	2	3
plaus_flag_lcsi_liv_agriculture	<2%		2-<10%	2-<10%	>10%		NA
	0		2	2	3
plaus_prop_fc_flags	<2%		2-<10%	2-<10%	>10%		4	11.5/20
	0		2	2	4
plaus_corr.fcs_rcsi	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	2
	0	1	2	3	4	5
plaus_corr.fcs_hhs	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	1.5
	0	1	1.5	2	2.5	3
plaus_corr.hhs_rcsi	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	0
	0	1	1.5	2	2.5	3
plaus_flag_fcsrcsi_box	<2%		2-<10%	2-<10%	>10%		3
	0		1	1	3
plaus_flag_fcs_rcsi	<2%		2-<10%	2-<10%	>10%		1
	0		1	1	3
plaus_fsl_score	<20		20 < 30		>= 30		55.5
plaus_fsl_cat	Good		Moderate		Problematic		Problematic

2

	Values
Criteria	Excellent		Good	Acceptable	Problematic		Score	Indicator Score
plaus_flag_sd_foodgroup	<2%		2-<10%	2-<10%	>10%		6	17/20
	0		4	4	6
plaus_sd_fcs	sd >=9 or <14		sd >= 8-<9 or sd >= 14 - <16	sd >= 8-<9 or sd >= 14 - <16	sd <8 or >=16		3
	0		2	2	4
plaus_flag_low_fcs	<2%		2-<10%	2-<10%	>10%		2
	0		2	2	4
plaus_flag_high_fcs	<2%		2-<10%	2-<10%	>10%		2
	0		1	1	2
plaus_flag_meat_cereal_ratio	<2%		2-<10%	2-<10%	>10%		4
	0		2	2	4
plaus_flag_low_sugar_cond_hdds	<2%		2-<10%	2-<10%	>10%		0
	0		2	2	4
plaus_flag_sd_rcsicoping	<2%		2-<10%	2-<10%	>10%		6	16/20
	0		4	4	6
plaus_sd_rcsi	sd >=9 or <14		sd >=8-<9 or sd >=14 - <16	sd >=8-<9 or sd >=14 - <16	sd <8 or >=16		0
	0		2	2	3
plaus_flag_high_rcsi	<1%		2-<10%	2-<10%	>=5%		4
	0		4	4	5
plaus_flag_protein_rcsi	<2%		2-<10%	2-<10%	>10%		3
	0		2	2	3
plaus_flag_rcsi_children	<2%		2-<10%	2-<10%	>10%		3
	0		2	2	3
plaus_flag_severe_hhs	<1%		<5%	<10%	>=10%		6	6/10
	0		6	8	10
plaus_flag_lcsi_coherence	<2%		2-<10%	2-<10%	>10%		7	12/20
	0		5	5	7
plaus_flag_lcsi_na	<2%		2-<10%	2-<10%	>10%		0
	0		3	3	5
plaus_flag_lcsi_severity	<2%		2-<10%	2-<10%	>10%		5
	0		3	3	5
plaus_flag_lcsi_liv_livestock	<2%		2-<10%	2-<10%	>10%		NA
	0		2	2	3
plaus_flag_lcsi_liv_agriculture	<2%		2-<10%	2-<10%	>10%		NA
	0		2	2	3
plaus_prop_fc_flags	<2%		2-<10%	2-<10%	>10%		4	16/20
	0		2	2	4
plaus_corr.fcs_rcsi	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	5
	0	1	2	3	4	5
plaus_corr.fcs_hhs	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	3
	0	1	1.5	2	2.5	3
plaus_corr.hhs_rcsi	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	0
	0	1	1.5	2	2.5	3
plaus_flag_fcsrcsi_box	<2%		2-<10%	2-<10%	>10%		3
	0		1	1	3
plaus_flag_fcs_rcsi	<2%		2-<10%	2-<10%	>10%		1
	0		1	1	3
plaus_fsl_score	<20		20 < 30		>= 30		67
plaus_fsl_cat	Good		Moderate		Problematic		Problematic

3

	Values
Criteria	Excellent		Good	Acceptable	Problematic		Score	Indicator Score
plaus_flag_sd_foodgroup	<2%		2-<10%	2-<10%	>10%		6	19/20
	0		4	4	6
plaus_sd_fcs	sd >=9 or <14		sd >= 8-<9 or sd >= 14 - <16	sd >= 8-<9 or sd >= 14 - <16	sd <8 or >=16		3
	0		2	2	4
plaus_flag_low_fcs	<2%		2-<10%	2-<10%	>10%		4
	0		2	2	4
plaus_flag_high_fcs	<2%		2-<10%	2-<10%	>10%		2
	0		1	1	2
plaus_flag_meat_cereal_ratio	<2%		2-<10%	2-<10%	>10%		4
	0		2	2	4
plaus_flag_low_sugar_cond_hdds	<2%		2-<10%	2-<10%	>10%		0
	0		2	2	4
plaus_flag_sd_rcsicoping	<2%		2-<10%	2-<10%	>10%		6	12/20
	0		4	4	6
plaus_sd_rcsi	sd >=9 or <14		sd >=8-<9 or sd >=14 - <16	sd >=8-<9 or sd >=14 - <16	sd <8 or >=16		0
	0		2	2	3
plaus_flag_high_rcsi	<1%		2-<10%	2-<10%	>=5%		0
	0		4	4	5
plaus_flag_protein_rcsi	<2%		2-<10%	2-<10%	>10%		3
	0		2	2	3
plaus_flag_rcsi_children	<2%		2-<10%	2-<10%	>10%		3
	0		2	2	3
plaus_flag_severe_hhs	<1%		<5%	<10%	>=10%		6	6/10
	0		6	8	10
plaus_flag_lcsi_coherence	<2%		2-<10%	2-<10%	>10%		7	12/20
	0		5	5	7
plaus_flag_lcsi_na	<2%		2-<10%	2-<10%	>10%		0
	0		3	3	5
plaus_flag_lcsi_severity	<2%		2-<10%	2-<10%	>10%		5
	0		3	3	5
plaus_flag_lcsi_liv_livestock	<2%		2-<10%	2-<10%	>10%		NA
	0		2	2	3
plaus_flag_lcsi_liv_agriculture	<2%		2-<10%	2-<10%	>10%		NA
	0		2	2	3
plaus_prop_fc_flags	<2%		2-<10%	2-<10%	>10%		4	10.5/20
	0		2	2	4
plaus_corr.fcs_rcsi	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	2
	0	1	2	3	4	5
plaus_corr.fcs_hhs	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	1.5
	0	1	1.5	2	2.5	3
plaus_corr.hhs_rcsi	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	0
	0	1	1.5	2	2.5	3
plaus_flag_fcsrcsi_box	<2%		2-<10%	2-<10%	>10%		3
	0		1	1	3
plaus_flag_fcs_rcsi	<2%		2-<10%	2-<10%	>10%		0
	0		1	1	3
plaus_fsl_score	<20		20 < 30		>= 30		59.5
plaus_fsl_cat	Good		Moderate		Problematic		Problematic

4

	Values
Criteria	Excellent		Good	Acceptable	Problematic		Score	Indicator Score
plaus_flag_sd_foodgroup	<2%		2-<10%	2-<10%	>10%		6	19/20
	0		4	4	6
plaus_sd_fcs	sd >=9 or <14		sd >= 8-<9 or sd >= 14 - <16	sd >= 8-<9 or sd >= 14 - <16	sd <8 or >=16		3
	0		2	2	4
plaus_flag_low_fcs	<2%		2-<10%	2-<10%	>10%		4
	0		2	2	4
plaus_flag_high_fcs	<2%		2-<10%	2-<10%	>10%		2
	0		1	1	2
plaus_flag_meat_cereal_ratio	<2%		2-<10%	2-<10%	>10%		4
	0		2	2	4
plaus_flag_low_sugar_cond_hdds	<2%		2-<10%	2-<10%	>10%		0
	0		2	2	4
plaus_flag_sd_rcsicoping	<2%		2-<10%	2-<10%	>10%		6	12/20
	0		4	4	6
plaus_sd_rcsi	sd >=9 or <14		sd >=8-<9 or sd >=14 - <16	sd >=8-<9 or sd >=14 - <16	sd <8 or >=16		0
	0		2	2	3
plaus_flag_high_rcsi	<1%		2-<10%	2-<10%	>=5%		0
	0		4	4	5
plaus_flag_protein_rcsi	<2%		2-<10%	2-<10%	>10%		3
	0		2	2	3
plaus_flag_rcsi_children	<2%		2-<10%	2-<10%	>10%		3
	0		2	2	3
plaus_flag_severe_hhs	<1%		<5%	<10%	>=10%		6	6/10
	0		6	8	10
plaus_flag_lcsi_coherence	<2%		2-<10%	2-<10%	>10%		7	12/20
	0		5	5	7
plaus_flag_lcsi_na	<2%		2-<10%	2-<10%	>10%		0
	0		3	3	5
plaus_flag_lcsi_severity	<2%		2-<10%	2-<10%	>10%		5
	0		3	3	5
plaus_flag_lcsi_liv_livestock	<2%		2-<10%	2-<10%	>10%		NA
	0		2	2	3
plaus_flag_lcsi_liv_agriculture	<2%		2-<10%	2-<10%	>10%		NA
	0		2	2	3
plaus_prop_fc_flags	<2%		2-<10%	2-<10%	>10%		4	16/20
	0		2	2	4
plaus_corr.fcs_rcsi	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	5
	0	1	2	3	4	5
plaus_corr.fcs_hhs	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	3
	0	1	1.5	2	2.5	3
plaus_corr.hhs_rcsi	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	0
	0	1	1.5	2	2.5	3
plaus_flag_fcsrcsi_box	<2%		2-<10%	2-<10%	>10%		3
	0		1	1	3
plaus_flag_fcs_rcsi	<2%		2-<10%	2-<10%	>10%		1
	0		1	1	3
plaus_fsl_score	<20		20 < 30		>= 30		65
plaus_fsl_cat	Good		Moderate		Problematic		Problematic

5

	Values
Criteria	Excellent		Good	Acceptable	Problematic		Score	Indicator Score
plaus_flag_sd_foodgroup	<2%		2-<10%	2-<10%	>10%		6	17/20
	0		4	4	6
plaus_sd_fcs	sd >=9 or <14		sd >= 8-<9 or sd >= 14 - <16	sd >= 8-<9 or sd >= 14 - <16	sd <8 or >=16		3
	0		2	2	4
plaus_flag_low_fcs	<2%		2-<10%	2-<10%	>10%		2
	0		2	2	4
plaus_flag_high_fcs	<2%		2-<10%	2-<10%	>10%		2
	0		1	1	2
plaus_flag_meat_cereal_ratio	<2%		2-<10%	2-<10%	>10%		4
	0		2	2	4
plaus_flag_low_sugar_cond_hdds	<2%		2-<10%	2-<10%	>10%		0
	0		2	2	4
plaus_flag_sd_rcsicoping	<2%		2-<10%	2-<10%	>10%		6	16/20
	0		4	4	6
plaus_sd_rcsi	sd >=9 or <14		sd >=8-<9 or sd >=14 - <16	sd >=8-<9 or sd >=14 - <16	sd <8 or >=16		0
	0		2	2	3
plaus_flag_high_rcsi	<1%		2-<10%	2-<10%	>=5%		4
	0		4	4	5
plaus_flag_protein_rcsi	<2%		2-<10%	2-<10%	>10%		3
	0		2	2	3
plaus_flag_rcsi_children	<2%		2-<10%	2-<10%	>10%		3
	0		2	2	3
plaus_flag_severe_hhs	<1%		<5%	<10%	>=10%		6	6/10
	0		6	8	10
plaus_flag_lcsi_coherence	<2%		2-<10%	2-<10%	>10%		7	12/20
	0		5	5	7
plaus_flag_lcsi_na	<2%		2-<10%	2-<10%	>10%		0
	0		3	3	5
plaus_flag_lcsi_severity	<2%		2-<10%	2-<10%	>10%		5
	0		3	3	5
plaus_flag_lcsi_liv_livestock	<2%		2-<10%	2-<10%	>10%		NA
	0		2	2	3
plaus_flag_lcsi_liv_agriculture	<2%		2-<10%	2-<10%	>10%		NA
	0		2	2	3
plaus_prop_fc_flags	<2%		2-<10%	2-<10%	>10%		4	16/20
	0		2	2	4
plaus_corr.fcs_rcsi	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	5
	0	1	2	3	4	5
plaus_corr.fcs_hhs	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	3
	0	1	1.5	2	2.5	3
plaus_corr.hhs_rcsi	R2 < -0.2 & p-value <0.05	R2 < -0.2 & p-value >= 0.05	R2 >= -0.2 & R2 <= 0.2 & p-value >=0.05	R2 >= -0.2 & R2 <= 0.2 & p-value <0.05	R2 > 0.2 & p-value >= 0.05	R2 > 0.2 & p-value <0.05	0
	0	1	1.5	2	2.5	3
plaus_flag_fcsrcsi_box	<2%		2-<10%	2-<10%	>10%		3
	0		1	1	3
plaus_flag_fcs_rcsi	<2%		2-<10%	2-<10%	>10%		1
	0		1	1	3
plaus_fsl_score	<20		20 < 30		>= 30		67
plaus_fsl_cat	Good		Moderate		Problematic		Problematic

Overall Flag Table

flag_meat_cereal_ratio

Rational: Any time protein consumption is higher than cereal consumption. In most diets, cereal consumption remains the main food group, also usually cheaper than meat and would be higher than protein consumption. Exceptions could be observed in certain contexts including for pastoral HHs relying on different sources of food.

Action: If cereal consumption is low, but meat consumption is high, data should be reviewed for coherence according to food source and livelihood system.

flag_low_cereal

Rational: In many contexty, types of fat are commonly used for meal preparation, along with cereals as basic staples.

Action: If reported consumption is low, review according to food sources and livelihoods sytems for coherence.

flag_low_oil

Rational: In many contexty, types of fat are commonly used for meal preparation, along with cereals as basic staples. If reported consumption is low

Action: If reported consumption is low, review according to food sources and livelihoods sytems for coherence.

flag_low_fcs

Rational: Except if in EXTREME cases (e.g. Somalia), it will be very rare for many/any HHs to have such low FCS scores

Action: Review with enumerators if corresponds to observed vulneraiblity of households and flag to PHU

flag_high_fcs

Rational: FCS total score is 112 which corresponds to consuming all food groups every day, highly unlikely in any context. WFP set threshold starting from 56 considered already has high. To be reviewed against context for coherence.

Action: Review with enumerators if corresponds to observed vulneraiblity of households

flag_sd_foodgroup

Rational:

Action:

flag_protein_rcsi

Rational: If rCSI score is high (in contexts of early crisis stages) while protein consumption is also reported as frequent ( min. 5 days), it could be that either dimension wasn’t understood or collected properly.

Action: Review with enumerators teams if consumption-based coping were really applied because of lack of food, and/or well understood (review frequency) AND/OR review which protein are mainly reported: meat, chicken or eggs? Depending on the livelihood system or market prices, high protein consumption could be explained but if not (HH doesn’t appear to own livestock for instance), remove rCSI entry if other food groups are also frequently consumed in line with local dietary patterns.

flag_fcs_rcsi

Rational: FCS and rCSI are strongly correlated with a negative relation. This combination is’t impossible but needs to be verified within its context. If collected in early stages of a crisis, would be expected that rCSI will still be sensitive enough to measure early consumption-based coping and measure a higher score.

Action: Review based on context and crisis stage, whether not engaging in consumption-based coping would be linked to exhaustion of these strategies (in a protracted context) or to issues in collecting this data in the correct way.

flag_high_rcsi

Rational: Semi-official threshold tested by IPC AFI for potential cut-off of rCSI score indicative of IPC AFI phase 4.

Action: If large % of HHs score rCSI above 43, review if relevant within a protracted or new crisis. Cut-off can then be applied for analysis and results presentation.

flag_fcsrcsi_box

Rational: Any HH that would have an acceptable FCS score (higher scores) and a high rCSI score is most likely indicative of data quality issue with one or both indicators

Action: Review both FCS and rCSI entries with concerned enumerators

flag_sd_rcsicoping

Rational: Script calculates ‘sd_rcsicoping’ measuring the standard deviation among consumption based coping entries. If sd_rcsicoping is lower than 0.8, high descripencies among the rCSI entry should be flagged. Repetitive entry (5,4,5,4,5,…), all high (rcsi = 56) or all low (rcsi = 0) entries should be reviewed for enumerator bias.

Action: If lower than 0.8, review for enumerator bias

flag_severe_hhs

Rational: reports of severe and very severe hunger are flags for particularly At Risk Households suffering from prolonged acute food insecurity

Action: Flag to PHU team

flag_lcsi_coherence

Rational: HHs report using crisis or emergency strategies but not stress strategies (not even exhausted). Emergency and no crisis (NA included). Livelihood coping isn’t linear but to check for coherence among severity of strategies used and exhausted

Action: If no stress level stragies are either exhausted or applied (‘yes’), but crisis or emergency are, (same scenario if no crisis strategies are applied or exhausted). Either strategies selected aren’t context appropriate or review enumerators understanding of module. Whole LCSI module will most likely be considered as non-informative.

flag_lcsi_severity

Rational: If a high % of HHs report employing emergency level livelihoods coping strategies, severe sign of food consumption (or wider basic needs) gaps

Action: Flag to PHU team

flag_fc_cell

Rational: According to the fewsnet matrix cells and combination they reflect between FCS score, rCSI score and HHS score about 6 combinations would indicate non logical situation where FCS score is acceptable and rCSI is low but HHS score is moderate to very severe. Doesn’t include LCSI.

Action: Review entries for HHs with flag to identify incoherence among outcomes indicators results.

flag_low_sugar_cond_hdds

Rational: If low HDDS score but only because sugar and condiments ar reported would be a sign of high severity and high food consumption gaps.

Action: NA

Plots

FCS Ridge Overall Distribution Plot

FCS Ridge by Enumerator Distribution Plot

RCSI Ridge Overall Distribution Plot

RCSI Ridge by Enumerator Distribution Plot

RCSI Ridge by Enumerator Distribution Plot

## 
## 
## #### FCS/RCSI/HHS Correlation Plot

MUAC/NUTRITION

Data Quality NUT

Plausbility

Overall

	Values
flag_name	Excellent	Good	Acceptable	Problematic	Score
plaus_ageratio	p-value > 0.1	p-value > 0.05	p-value > 0.001	p-value < 0.001	0
	0	1	3	5
plaus_sexratio	p-value > 0.1	p-value > 0.05	p-value > 0.001	p-value < 0.001	0
	0	1	3	5
plaus_dps_muac	< 8	< 13	< 20	>= 20	2
	0	1	3	5
plaus_perc_mfaz_children	< 1%	< 3%	< 5%	>= 5%	0
	0	5	10	20
plaus_n_children_muac	> 100	> 80	> 50	<= 50	0
	0	2	4	10
plaus_sd_muac_mm	< 12	< 14	< 15	>= 15	10
	0	5	10	20
plaus_anthro_score	<10	10 < 20	20 < 25	>= 25	12
plaus_anthro_cat	Excellent	Good	Acceptable	Problematic	Good

1

	Values
flag_name	Excellent	Good	Acceptable	Problematic	Score
plaus_ageratio	p-value > 0.1	p-value > 0.05	p-value > 0.001	p-value < 0.001	0
	0	1	3	5
plaus_sexratio	p-value > 0.1	p-value > 0.05	p-value > 0.001	p-value < 0.001	0
	0	1	3	5
plaus_dps_muac	< 8	< 13	< 20	>= 20	4
	0	1	3	5
plaus_perc_mfaz_children	< 1%	< 3%	< 5%	>= 5%	0
	0	5	10	20
plaus_n_children_muac	> 100	> 80	> 50	<= 50	10
	0	2	4	10
plaus_sd_muac_mm	< 12	< 14	< 15	>= 15	0
	0	5	10	20
plaus_anthro_score	<10	10 < 20	20 < 25	>= 25	14
plaus_anthro_cat	Excellent	Good	Acceptable	Problematic	Good

2

	Values
flag_name	Excellent	Good	Acceptable	Problematic	Score
plaus_ageratio	p-value > 0.1	p-value > 0.05	p-value > 0.001	p-value < 0.001	0
	0	1	3	5
plaus_sexratio	p-value > 0.1	p-value > 0.05	p-value > 0.001	p-value < 0.001	0
	0	1	3	5
plaus_dps_muac	< 8	< 13	< 20	>= 20	10
	0	1	3	5
plaus_perc_mfaz_children	< 1%	< 3%	< 5%	>= 5%	0
	0	5	10	20
plaus_n_children_muac	> 100	> 80	> 50	<= 50	10
	0	2	4	10
plaus_sd_muac_mm	< 12	< 14	< 15	>= 15	20
	0	5	10	20
plaus_anthro_score	<10	10 < 20	20 < 25	>= 25	40
plaus_anthro_cat	Excellent	Good	Acceptable	Problematic	Problematic

3

	Values
flag_name	Excellent	Good	Acceptable	Problematic	Score
plaus_ageratio	p-value > 0.1	p-value > 0.05	p-value > 0.001	p-value < 0.001	0
	0	1	3	5
plaus_sexratio	p-value > 0.1	p-value > 0.05	p-value > 0.001	p-value < 0.001	0
	0	1	3	5
plaus_dps_muac	< 8	< 13	< 20	>= 20	10
	0	1	3	5
plaus_perc_mfaz_children	< 1%	< 3%	< 5%	>= 5%	0
	0	5	10	20
plaus_n_children_muac	> 100	> 80	> 50	<= 50	10
	0	2	4	10
plaus_sd_muac_mm	< 12	< 14	< 15	>= 15	5
	0	5	10	20
plaus_anthro_score	<10	10 < 20	20 < 25	>= 25	25
plaus_anthro_cat	Excellent	Good	Acceptable	Problematic	Problematic

4

	Values
flag_name	Excellent	Good	Acceptable	Problematic	Score
plaus_ageratio	p-value > 0.1	p-value > 0.05	p-value > 0.001	p-value < 0.001	0
	0	1	3	5
plaus_sexratio	p-value > 0.1	p-value > 0.05	p-value > 0.001	p-value < 0.001	0
	0	1	3	5
plaus_dps_muac	< 8	< 13	< 20	>= 20	4
	0	1	3	5
plaus_perc_mfaz_children	< 1%	< 3%	< 5%	>= 5%	0
	0	5	10	20
plaus_n_children_muac	> 100	> 80	> 50	<= 50	10
	0	2	4	10
plaus_sd_muac_mm	< 12	< 14	< 15	>= 15	20
	0	5	10	20
plaus_anthro_score	<10	10 < 20	20 < 25	>= 25	34
plaus_anthro_cat	Excellent	Good	Acceptable	Problematic	Problematic

5

	Values
flag_name	Excellent	Good	Acceptable	Problematic	Score
plaus_ageratio	p-value > 0.1	p-value > 0.05	p-value > 0.001	p-value < 0.001	0
	0	1	3	5
plaus_sexratio	p-value > 0.1	p-value > 0.05	p-value > 0.001	p-value < 0.001	0
	0	1	3	5
plaus_dps_muac	< 8	< 13	< 20	>= 20	10
	0	1	3	5
plaus_perc_mfaz_children	< 1%	< 3%	< 5%	>= 5%	0
	0	5	10	20
plaus_n_children_muac	> 100	> 80	> 50	<= 50	10
	0	2	4	10
plaus_sd_muac_mm	< 12	< 14	< 15	>= 15	10
	0	5	10	20
plaus_anthro_score	<10	10 < 20	20 < 25	>= 25	30
plaus_anthro_cat	Excellent	Good	Acceptable	Problematic	Problematic

Overall Flag Table

flag_sd_mfaz

Rational: MUAC-for-age z-scores where the value is greater than +/- 3 from the mean MUAC-for-age z-scores

Action: Data will be automatically cleaned, but please do check with Enumerator.

flag_extreme_muac

Rational: MUAC < 7cm or > 22cm

Action: Data will be automatically cleaned, but please do check with Enumerator.

flag_edema_pitting

Rational: Oedema cases reported “yes”

Action: Manual review and follow-up with team needed to confirm.

Plots

Age Month Distribution

Age Month Distribution per Enumerator

Age Distribution Anthro

Cumulative Distribution MUAC without Flag

Cumulative Distribution MUAC with Flag per Enumerator

WATER CONSUMPTION

Overall Flag Table

flag_sd_litre

Rational: Liters per person per day is greater than +/- 3 from the mean liters per person per day.

Action: Data will be automatically cleaned, but please do check with Enumerator.

flag_low_litre

Rational: Liters per person per day is <1

Action: Data will be automatically cleaned, but please do check with Enumerator.

flag_high_litre

Rational: Liters per person per day is > 50

Action: Data will be automatically cleaned, but please do check with Enumerator.

flag_high_container

Rational: High numbers of containers > 20 (per HH)

Action: Data will be automatically cleaned, but please do check with Enumerator.

flag_no_container

Rational: No containers for households where water is not on the premises.

Action: Please follow up with Enumerator

flag_not_immediate

Rational: Water is on the premises but water collection time is not immediate.

Action: Data will be automatically cleaned, but please do check with Enumerator.

MORTALITY

Data Quality MORT

Plausbility

Overall

	Values
flag_name	Excellent	Good	Acceptable	Problematic	Score
plaus_overall_cdr	<1	<2	<3.5	>=3.5	5
	0	5	10	20
plaus_hh_multiple_death	<0.5%	0.5 - <1%	1 - <1.5%	>=1.5%	10
	0	5	10	20
plaus_sex_ratio	>0.05	>0.001	> 0.001	<= 0.0001	0
	0	2	4	10
plaus_age0to4_5plus_ratio	>0.1	>0.05	>0.001	<= 0.001	5
	0	1	3	5
plaus_age0to1_2to4_ratio	>0.1	>0.05	>0.001	<= 0.001	5
	0	1	3	5
plaus_age0to4_5to10_ratio	>0.1	>0.05	>0.001	<= 0.001	5
	0	1	3	5
plaus_mort_score	<10	10 < 20	20 < 25	>= 25	30
plaus_mort_cat	Excellent	Good	Acceptable	Problematic	Problematic

1

	Values
flag_name	Excellent	Good	Acceptable	Problematic	Score
plaus_overall_cdr	<1	<2	<3.5	>=3.5	0
	0	5	10	20
plaus_hh_multiple_death	<0.5%	0.5 - <1%	1 - <1.5%	>=1.5%	0
	0	5	10	20
plaus_sex_ratio	>0.05	>0.001	> 0.001	<= 0.0001	0
	0	2	4	10
plaus_age0to4_5plus_ratio	>0.1	>0.05	>0.001	<= 0.001	1
	0	1	3	5
plaus_age0to1_2to4_ratio	>0.1	>0.05	>0.001	<= 0.001	1
	0	1	3	5
plaus_age0to4_5to10_ratio	>0.1	>0.05	>0.001	<= 0.001	1
	0	1	3	5
plaus_mort_score	<10	10 < 20	20 < 25	>= 25	3
plaus_mort_cat	Excellent	Good	Acceptable	Problematic	Excellent

2

	Values
flag_name	Excellent	Good	Acceptable	Problematic	Score
plaus_overall_cdr	<1	<2	<3.5	>=3.5	5
	0	5	10	20
plaus_hh_multiple_death	<0.5%	0.5 - <1%	1 - <1.5%	>=1.5%	0
	0	5	10	20
plaus_sex_ratio	>0.05	>0.001	> 0.001	<= 0.0001	0
	0	2	4	10
plaus_age0to4_5plus_ratio	>0.1	>0.05	>0.001	<= 0.001	3
	0	1	3	5
plaus_age0to1_2to4_ratio	>0.1	>0.05	>0.001	<= 0.001	3
	0	1	3	5
plaus_age0to4_5to10_ratio	>0.1	>0.05	>0.001	<= 0.001	3
	0	1	3	5
plaus_mort_score	<10	10 < 20	20 < 25	>= 25	14
plaus_mort_cat	Excellent	Good	Acceptable	Problematic	Good

3

	Values
flag_name	Excellent	Good	Acceptable	Problematic	Score
plaus_overall_cdr	<1	<2	<3.5	>=3.5	0
	0	5	10	20
plaus_hh_multiple_death	<0.5%	0.5 - <1%	1 - <1.5%	>=1.5%	0
	0	5	10	20
plaus_sex_ratio	>0.05	>0.001	> 0.001	<= 0.0001	0
	0	2	4	10
plaus_age0to4_5plus_ratio	>0.1	>0.05	>0.001	<= 0.001	1
	0	1	3	5
plaus_age0to1_2to4_ratio	>0.1	>0.05	>0.001	<= 0.001	1
	0	1	3	5
plaus_age0to4_5to10_ratio	>0.1	>0.05	>0.001	<= 0.001	1
	0	1	3	5
plaus_mort_score	<10	10 < 20	20 < 25	>= 25	3
plaus_mort_cat	Excellent	Good	Acceptable	Problematic	Excellent

4

	Values
flag_name	Excellent	Good	Acceptable	Problematic	Score
plaus_overall_cdr	<1	<2	<3.5	>=3.5	10
	0	5	10	20
plaus_hh_multiple_death	<0.5%	0.5 - <1%	1 - <1.5%	>=1.5%	20
	0	5	10	20
plaus_sex_ratio	>0.05	>0.001	> 0.001	<= 0.0001	0
	0	2	4	10
plaus_age0to4_5plus_ratio	>0.1	>0.05	>0.001	<= 0.001	5
	0	1	3	5
plaus_age0to1_2to4_ratio	>0.1	>0.05	>0.001	<= 0.001	5
	0	1	3	5
plaus_age0to4_5to10_ratio	>0.1	>0.05	>0.001	<= 0.001	5
	0	1	3	5
plaus_mort_score	<10	10 < 20	20 < 25	>= 25	45
plaus_mort_cat	Excellent	Good	Acceptable	Problematic	Problematic

5

	Values
flag_name	Excellent	Good	Acceptable	Problematic	Score
plaus_overall_cdr	<1	<2	<3.5	>=3.5	5
	0	5	10	20
plaus_hh_multiple_death	<0.5%	0.5 - <1%	1 - <1.5%	>=1.5%	0
	0	5	10	20
plaus_sex_ratio	>0.05	>0.001	> 0.001	<= 0.0001	0
	0	2	4	10
plaus_age0to4_5plus_ratio	>0.1	>0.05	>0.001	<= 0.001	5
	0	1	3	5
plaus_age0to1_2to4_ratio	>0.1	>0.05	>0.001	<= 0.001	5
	0	1	3	5
plaus_age0to4_5to10_ratio	>0.1	>0.05	>0.001	<= 0.001	5
	0	1	3	5
plaus_mort_score	<10	10 < 20	20 < 25	>= 25	20
plaus_mort_cat	Excellent	Good	Acceptable	Problematic	Acceptable

Overall Flag Table

flag_multiple_death

Rational: Respondent reported more than 2 death in the HH

Action: Please follow up with Enumerator

flag_cause_death

Rational: Respondent reported sex of dead person male and a cause of death related to female only.

Action: Please follow up with Enumerator